Table 2.

Predictive performance of parametric and non-parametric modelling approaches for prediction of HAA measured from full lung CT scans

Modelling method	Variables included in the best subset	RMSE
Linear regression with least squares estimation	Race, height, weight, age, sex	1.64
Linear regression with elastic net penalty	Race, height, weight, age	1.72
Random forests	Race, weight, age, sex	1.68
Boosting	Race, sex	1.70
Support vector regression	Weight	1.81

RMSE is calculated on 10-fold cross-validation.

CT, computed tomography; HAA, high attenuation area; RMSE, root of mean square error.